离散优化框架下的多基线 InSAR 相位解缠方法 = A multi-baseline phase unwrapping method based on a discrete optimization framework
Multi-baseline phase unwrapping breaks through the limit of phase continuity assumption through extending the ambiguity boundary of single-baseline phase unwrapping. However, phase noise is still challenging the multi-baseline unwrapping. The clustering analysis algorithm can suppress the noise to a...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | Chinese |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/179892 |
| _version_ | 1826120992732217344 |
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| author | Yue, Jiawei Huang, Qihuan Liu, Hui Ma, Zhangfeng |
| author2 | Earth Observatory of Singapore |
| author_facet | Earth Observatory of Singapore Yue, Jiawei Huang, Qihuan Liu, Hui Ma, Zhangfeng |
| author_sort | Yue, Jiawei |
| collection | NTU |
| description | Multi-baseline phase unwrapping breaks through the limit of phase continuity assumption through extending the ambiguity boundary of single-baseline phase unwrapping. However, phase noise is still challenging the multi-baseline unwrapping. The clustering analysis algorithm can suppress the noise to a certain extent, but it is hard to guarantee continuity of cluster edges. In this paper, a discrete-optimization-based multi-baseline InSAR phase unwrapping algorithm is proposed, which transforms the classical multi-baseline unwrapping into a discrete optimization problem and constructs a multi-baseline unwrapping analytical framework. The method solves the phase ambiguity in the bidirectional form, and introduces block clustering to correct the abrupt change of the phase ambiguities caused by heavy noise, improving the robustness of the algorithm and overcoming the cluster boundary hopping. The effectiveness of the method has been validated through simulation and real data tests. The results show that the proposed algorithm reduces the root mean square error by about 20% compared with the traditional clustering method. |
| first_indexed | 2024-10-01T05:25:29Z |
| format | Journal Article |
| id | ntu-10356/179892 |
| institution | Nanyang Technological University |
| language | Chinese |
| last_indexed | 2024-10-01T05:25:29Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1798922024-09-03T15:36:34Z 离散优化框架下的多基线 InSAR 相位解缠方法 = A multi-baseline phase unwrapping method based on a discrete optimization framework Yue, Jiawei Huang, Qihuan Liu, Hui Ma, Zhangfeng Earth Observatory of Singapore Earth and Environmental Sciences Cluster analysis Discrete optimization Multi-baseline phase unwrapping breaks through the limit of phase continuity assumption through extending the ambiguity boundary of single-baseline phase unwrapping. However, phase noise is still challenging the multi-baseline unwrapping. The clustering analysis algorithm can suppress the noise to a certain extent, but it is hard to guarantee continuity of cluster edges. In this paper, a discrete-optimization-based multi-baseline InSAR phase unwrapping algorithm is proposed, which transforms the classical multi-baseline unwrapping into a discrete optimization problem and constructs a multi-baseline unwrapping analytical framework. The method solves the phase ambiguity in the bidirectional form, and introduces block clustering to correct the abrupt change of the phase ambiguities caused by heavy noise, improving the robustness of the algorithm and overcoming the cluster boundary hopping. The effectiveness of the method has been validated through simulation and real data tests. The results show that the proposed algorithm reduces the root mean square error by about 20% compared with the traditional clustering method. Published version The National Natural Science Foundation of China (Nos. 42274038; 41901411) ; Training Plan for Young Backbone Teachers of Colleges and Universities in Henan Province (No. 2021GGJS073); Project on Excellent Post-graduate Dissertation of Hohai University (No. 422003519). 2024-09-02T01:13:13Z 2024-09-02T01:13:13Z 2024 Journal Article Yue, J., Huang, Q., Liu, H. & Ma, Z. (2024). 离散优化框架下的多基线 InSAR 相位解缠方法 = A multi-baseline phase unwrapping method based on a discrete optimization framework. Acta Geodaetica et Cartographica Sinica, 53(3), 473-481. https://dx.doi.org/10.11947/j.AGCS.2024.20220617 1001-1595 https://hdl.handle.net/10356/179892 10.11947/j.AGCS.2024.20220617 2-s2.0-85192886807 3 53 473 481 zh Acta Geodaetica et Cartographica Sinica © Acta Geodaetica et Cartographica Sinica. This is an open-access article distributed under the terms of the Creative Commons License. application/pdf |
| spellingShingle | Earth and Environmental Sciences Cluster analysis Discrete optimization Yue, Jiawei Huang, Qihuan Liu, Hui Ma, Zhangfeng 离散优化框架下的多基线 InSAR 相位解缠方法 = A multi-baseline phase unwrapping method based on a discrete optimization framework |
| title | 离散优化框架下的多基线 InSAR 相位解缠方法 = A multi-baseline phase unwrapping method based on a discrete optimization framework |
| title_full | 离散优化框架下的多基线 InSAR 相位解缠方法 = A multi-baseline phase unwrapping method based on a discrete optimization framework |
| title_fullStr | 离散优化框架下的多基线 InSAR 相位解缠方法 = A multi-baseline phase unwrapping method based on a discrete optimization framework |
| title_full_unstemmed | 离散优化框架下的多基线 InSAR 相位解缠方法 = A multi-baseline phase unwrapping method based on a discrete optimization framework |
| title_short | 离散优化框架下的多基线 InSAR 相位解缠方法 = A multi-baseline phase unwrapping method based on a discrete optimization framework |
| title_sort | 离散优化框架下的多基线 insar 相位解缠方法 a multi baseline phase unwrapping method based on a discrete optimization framework |
| topic | Earth and Environmental Sciences Cluster analysis Discrete optimization |
| url | https://hdl.handle.net/10356/179892 |
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